AI's Existing Impact from Coursera

Artificial Intelligence (AI) is transforming industries by enhancing personalization and customer experience. This course, "AI's Existing Impact," delves into the benefits of personalization for brands, helping you distinguish between personalization and customization. You will learn to identify opportunities to leverage AI to support personalization efforts and understand different approaches used in implementing personalization algorithms.

The course also covers content moderation challenges and helps you assess the tradeoffs between the benefits and risks of personalization algorithms in various contexts. You'll explore different approaches to building recommendation systems and learn how organizations can monetize these systems' results. Additionally, you'll uncover the shortcomings of recommendation systems, including their predictive limitations and societal effects.

Explore how chatbots are built and how marketing organizations can utilize them to improve customer experiences. You'll assess the opportunities and challenges of implementing chatbots in marketing and understand factors affecting consumer acceptance of AI.

What's inside

Syllabus

Recommendation Systems

This module discusses the benefits of personalization and the nature of commonly used recommendation systems.

Personalization Algorithms

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores chatbots, which are becoming increasingly common tools in marketing and customer engagement, offering practical insights for professionals

Examines the business applications of recommendation systems, focusing on how organizations can monetize the results of these technologies

Discusses the challenges associated with content moderation, which is a critical issue for brands using personalization algorithms

Explores factors relating to consumers' trust in AI, which may be limited by consumers' willingness to accept the use of AI

Requires learners to assess the tradeoffs between the benefits and risks of personalization algorithms in various contexts

Reviews summary

Ai's business impact overview

According to learners, this course offers a largely positive overview of AI's current impact on business, focusing specifically on personalization, recommendation systems, and chatbots. Many appreciate that the content is clear and presented in an easy-to-understand manner, making it particularly relevant and accessible for non-technical professionals in fields like marketing or e-commerce who need a solid foundation in these areas. While the course structure is generally well-received, some reviewers noted a lack of technical depth regarding *how* these systems are built and felt certain topics or examples could be more current or include additional case studies.

Content is easy to follow and understand.

"The instructor was clear and engaging."

"Excellent course! It clearly explains complex concepts like personalization algorithms..."

"The course is well-structured and easy to follow."

Excellent overview for business professionals.

"This course provided a fantastic overview of how AI is currently used in marketing and business."

"Good introduction to AI's impact... fine for me as a business person..."

"Highly relevant course for anyone in digital marketing or e-commerce."

"Perfect for non-technical professionals."

Some content might be slightly outdated.

"Some of the information, especially regarding specific AI tools or platforms, seemed a little outdated."

"Would have liked more case studies or real-world examples."

Not detailed enough for technical learners.

"Disappointed with the lack of technical detail. Expected to learn more about *how* these systems are built..."

"It's not very technical... might disappoint those looking for depth."

"felt a bit basic... not enough for deep understanding."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AI's Existing Impact with these activities:

Review Basic Statistics and Probability

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Reinforce your understanding of fundamental statistical concepts and probability, which are essential for understanding how recommendation systems and AI algorithms work.

Browse courses on Statistics

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Review key statistical measures like mean, median, and standard deviation.
Practice calculating probabilities and understanding distributions.
Familiarize yourself with hypothesis testing concepts.

Review 'Designing Voice User Interfaces'

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Enhance your understanding of chatbot design principles and best practices.

View Designing Voice User Interfaces: Principles of... on Amazon

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Read the chapters on conversation design and natural language understanding.
Take notes on key design principles and examples.
Apply these principles to your own chatbot projects.

Review 'Artificial Intelligence: A Modern Approach'

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Gain a deeper understanding of the underlying AI principles and algorithms that power recommendation systems and chatbots.

View Melania on Amazon

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Read the chapters related to search, knowledge representation, and machine learning.
Focus on the sections that discuss algorithms relevant to recommendation systems.
Take notes on key concepts and examples.

Four other activities

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Follow a Chatbot Tutorial

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Gain hands-on experience building a chatbot by following a step-by-step tutorial.

Browse courses on Chatbots

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Find a tutorial on building a chatbot using a platform like Dialogflow or Rasa.
Follow the tutorial and build your own chatbot.
Experiment with different features and functionalities.

Write a Blog Post on AI and Consumer Trust

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Solidify your understanding of consumer psychology and AI by writing a blog post exploring the factors that influence consumer trust in AI.

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Research the factors that affect consumer trust in AI.
Outline your blog post with key points and examples.
Write a compelling and informative blog post.
Edit and proofread your post before publishing.

Build a Simple Recommendation System

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Apply your knowledge of recommendation systems by building a basic system using a dataset of your choice.

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Choose a dataset (e.g., movie ratings, product reviews).
Implement a collaborative filtering or content-based filtering algorithm.
Evaluate the performance of your recommendation system.
Document your project and findings.

Presentation: Monetizing Recommendation Systems

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Deepen your understanding of the business applications of recommendation systems by creating a presentation on how organizations can monetize them.

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Research different strategies for monetizing recommendation systems.
Create a presentation outlining these strategies with examples.
Practice your presentation and prepare for questions.

Career center

Learners who complete AI's Existing Impact will develop knowledge and skills that may be useful to these careers:

Marketing Analyst

A Marketing Analyst uses data to understand consumer behavior and to improve marketing campaigns, sales, and overall brand perception. The course, "AI's Existing Impact," may be useful for anyone who wishes to explore how artificial intelligence can improve personalization and customer experience. This course delves into personalization algorithms, and it also covers recommendation systems. A marketing analyst should study consumer psychology, and understand the limits of these tools. This course explores those very topics, and it also discusses how to monetize the results of recommendation systems. This course also covers how chatbots can improve customer experience.

See salaries and explore the career path for Marketing Analyst

Customer Experience Manager

A Customer Experience Manager is responsible for ensuring that customers have positive interactions with a company. This role involves leveraging technology and data to better understand the customer experience and to optimize touchpoints. The course, "AI's Existing Impact," may be useful for anyone working to improve customer experience. The course covers ways in which AI can enhance personalization which might lead to better customer experiences. It also covers chatbots, which can improve customer experiences, as well. A customer experience manager should understand the limits of these technologies and the ways in which consumers perceive them. This course covers these topics.

See salaries and explore the career path for Customer Experience Manager

Digital Marketing Specialist

A Digital Marketing Specialist crafts and carries out online marketing strategies. This can include analyzing customer interaction to increase the effectiveness of digital campaigns. The course, "AI's Existing Impact," may be useful for any digital marketing specialist, as it covers the benefits and risks of personalization and the implementation of algorithms. A digital marketing specialist should be aware of how to use tools like recommendation systems and chatbots. This course is designed to help build this understanding. Additionally, the course addresses the societal effects of these technologies, which is valuable information for anyone working in digital marketing.

See salaries and explore the career path for Digital Marketing Specialist

E-commerce Specialist

An E-commerce Specialist manages a company's online sales channel, and is often focused on improving online sales and customer experience. The course, "AI's Existing Impact," may be useful for an ecommerce specialist as it discusses how artificial intelligence can enhance personalization strategies. The course delves into recommendation systems and how they can be used to support sales goals. It also reviews the applications of chatbots in marketing, and the implementation challenges. Considering the impact that AI is having on the industry, this course provides valuable insight.

See salaries and explore the career path for E-commerce Specialist

Product Manager

A Product Manager guides the strategy, roadmap, and execution of a product. This often involves understanding customer needs and market trends, as well as the technical possibilities for a product. The course, "AI's Existing Impact," provides foundational knowledge for a product manager who is interested in incorporating AI technologies. The course explains the benefits and challenges of personalization, discusses recommendation systems, and explores different approaches. A product manager should understand how technology impacts product experience, and that understanding greatly informs product decisions. This course directly addresses this impact.

See salaries and explore the career path for Product Manager

Market Research Analyst

A Market Research Analyst studies market conditions, consumer behavior, and competitor activities to assess market opportunities. This role involves using data to uncover actionable insights for organizations. The course, "AI's Existing Impact," may be useful for a market research analyst who wishes to understand the impact of AI on customer behavior and preferences. The course explores personalization algorithms, recommendation systems, and chatbots. It also studies consumer acceptance of AI, which is deeply relevant to market research. This course may be helpful for a market research analyst to understand these technologies.

See salaries and explore the career path for Market Research Analyst

Business Analyst

A Business Analyst identifies areas for improvement and recommends solutions to business problems. This role often involves analyzing data, as well as working with stakeholders to understand their needs. The course, "AI's Existing Impact," may be useful for a business analyst looking to integrate AI into business processes. The course explores the benefits and risks of personalization, discusses recommendation systems, and explores chatbot implementations. Business analysts should be aware of these technologies and how they impact business performance. This course can help to build the required understanding.

See salaries and explore the career path for Business Analyst

Content Strategist

A Content Strategist plans and organizes content to meet business objectives. It requires them to understand the target audience. The course, "AI's Existing Impact", may be useful for a content strategist as it addresses personalization algorithms and how they relate to different individuals. This course also discusses content moderation, which is a key issue for many content strategists. Furthermore, it covers topics like recommendation systems, which a content strategist could use to improve content engagement. This can help build a more successful content strategy.

See salaries and explore the career path for Content Strategist

Brand Manager

A Brand Manager guides the positioning and strategy for a brand. They work to create a strong brand identity. The course, "AI's Existing Impact," may be useful to a brand manager as they address the role of personalization in brand perceptions and customer experience. The course also explores the impact of recommendation systems and chatbots on customer engagement and brand preference. A brand manager must understand the limits of these technologies, and this course addresses the predictive limitations and societal effects of such technologies. This can help create a more effective brand strategy.

See salaries and explore the career path for Brand Manager

Data Analyst

A Data Analyst processes and interprets numerical data using statistical techniques to perform analysis. Data analysts often create reports and visualizations. The course, "AI's Existing Impact," may be useful for a data analyst in understanding the impact of artificial intelligence on various industries. The course goes over the benefits and risks of personalization algorithms and explores how recommendation systems are built. It also delves into the ways organizations can monetize those systems. This course may be useful for data analysts who are looking to expand their skill set.

See salaries and explore the career path for Data Analyst

Social Media Manager

A Social Media Manager oversees a company's social media presence. This includes the creation of content, engagement with followers, and analysis of social media metrics. The course, "AI's Existing Impact," may be useful for anyone in the social media space because it addresses personalization. The course discusses the benefits and risks of AI-powered personalization. Understanding consumer acceptance of AI is also critical for a social media manager, and the course also addresses that. The course may be useful for anyone who wants to better understand how AI is shaping marketing.

See salaries and explore the career path for Social Media Manager

User Experience Researcher

A User Experience Researcher investigates user behavior to improve products or services. This involves understanding user needs, pain points, and preferences through research and analysis techniques. The course, "AI's Existing Impact," may help a user experience researcher. The course discusses the applications of chatbots in marketing and the ways in which they can be built. The course also discusses the factors relating to consumer trust in AI. These topics can help a user experience researcher have a deeper understanding of how users interact with AI-driven technologies.

See salaries and explore the career path for User Experience Researcher

Sales Representative

A Sales Representative is responsible for selling a company's products or services to customers. The course, "AI's Existing Impact", may be useful to a sales representative. The course explains the benefits of personalization for brands, and a sales representative can use this information to better position their products. The course also discusses recommendation systems. By understanding how these systems work, a sales representative can use these tools to better understand how to meet customer needs. This course also may be useful to any sales representative.

See salaries and explore the career path for Sales Representative

Public Relations Specialist

A Public Relations Specialist is responsible for managing a company's public image. This role often requires crisis management and generating positive media coverage. The course, "AI's Existing Impact," may be useful to a public relations specialist. The course delves into some of the risks of personalization algorithms, and understanding these risks is key for anyone managing a company's public profile. The course also covers the societal effects of recommendation systems, which is valuable information for managing the public perception of a brand. This course may offer helpful context.

See salaries and explore the career path for Public Relations Specialist

Human Resources Generalist

A Human Resources Generalist performs many different tasks such as recruiting talent, onboarding new employees, and benefits administration. The course, "AI's Existing Impact", may be useful for any human resources generalist. The course discusses the role personalization plays in customer experience and the challenges of content moderation. A human resources generalist may find this information helpful when evaluating the use of AI in supporting human resources functions. The course also covers consumer acceptance of AI, which could be of use.

See salaries and explore the career path for Human Resources Generalist

AI's Existing Impact

What's inside

Syllabus

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Reviews summary

Ai's business impact overview

Activities

Career center

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